{"id":20599652,"url":"https://github.com/adamdad/knowledgefactor","last_synced_at":"2025-04-15T00:37:50.197Z","repository":{"id":41105326,"uuid":"507797168","full_name":"Adamdad/KnowledgeFactor","owner":"Adamdad","description":"[ECCV2022] Factorizing Knowledge in Neural Networks","archived":false,"fork":false,"pushed_at":"2022-09-12T15:42:10.000Z","size":800,"stargazers_count":89,"open_issues_count":2,"forks_count":5,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-15T00:37:44.566Z","etag":null,"topics":["deep-learning","distillation","eccv2022","kd","knowldge-distillation","knowledge-transfer","multitask-learning","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Adamdad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-06-27T06:58:04.000Z","updated_at":"2024-11-28T15:40:11.000Z","dependencies_parsed_at":"2022-07-08T20:02:04.679Z","dependency_job_id":null,"html_url":"https://github.com/Adamdad/KnowledgeFactor","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FKnowledgeFactor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FKnowledgeFactor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FKnowledgeFactor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Adamdad%2FKnowledgeFactor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Adamdad","download_url":"https://codeload.github.com/Adamdad/KnowledgeFactor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248986270,"owners_count":21194024,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","distillation","eccv2022","kd","knowldge-distillation","knowledge-transfer","multitask-learning","pytorch"],"created_at":"2024-11-16T08:33:40.640Z","updated_at":"2025-04-15T00:37:50.154Z","avatar_url":"https://github.com/Adamdad.png","language":"Python","readme":"# Factorizing Knowledge in  Neural Networks\nThis is a PyTorch implementation of the paper\n\n[**Factorizing Knowledge in  Neural Networks(ECCV 2022)**](https://arxiv.org/abs/2207.03337)\n\n[Supplementary Material](https://drive.google.com/file/d/1BkXgJHJ-64NAADZOLHZAWdgK0VcLoZXQ/view?usp=sharing)\n\n*Xingyi Yang, Jingwen Ye, Xinchao Wang* \n\n![kf](assets/KnowledgeFactior_full-1.png)\nIn this paper, we explore a novel and ambitious knowledge-transfer task, termed Knowledge Factorization~(KF). The core idea of KF lies in the modularization \nand assemblability of knowledge: given a pretrained network model as input, KF aims to decompose it into several factor networks, each of which handles only a dedicated task and maintains task-specific knowledge factorized from the source network.\n\n## Licence\nThis project is released under the [Apache 2.0 license](LICENCE).\n\n## Citation\nIf you find this project useful in your research, please consider cite:\n\n        @Article{yang2022knowledgefactor,\n        author  = {Xingyi Yang, Jingwen Ye, Xinchao Wang},\n        title   = {Factorizing Knowledge in  Neural Networks},\n        journal = {European Conference on Computer Vision},\n        year    = {2022},\n        }\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamdad%2Fknowledgefactor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadamdad%2Fknowledgefactor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadamdad%2Fknowledgefactor/lists"}